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| Criterion |  Operations Gemba Walk |  Operations Kaizen Event |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
Purposedifferent | When there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions. | For a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. |
Complexitydifferent | Low | Medium | High |
Timedifferent | 30-120 min | 0.5-5 Tage | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-6 | 4-10 | 1-8 |
Formatdifferent | Workshop | Workshop | Workshop + async |
Outputdifferent | Observation Notes, Improvement Ideas | Kaizen Charter, Waste List, Improvement Experiments, Standard Work Update | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | LeanObservationProcessOperations | LeanContinuous improvementOperations | ForecastingFlowDelivery |
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